| Chapter title |
From Reductionism to Holism: Toward a More Complete View of Development Through Genome Engineering
|
|---|---|
| Chapter number | 3 |
| Book title |
Precision Medicine, CRISPR, and Genome Engineering
|
| Published in |
Advances in experimental medicine and biology, January 2017
|
| DOI | 10.1007/978-3-319-63904-8_3 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-963903-1, 978-3-31-963904-8
|
| Authors |
Rebecca K. Delker, Richard S. Mann |
| Abstract |
Paradigm shifts in science are often coupled to technological advances. New techniques offer new roads of discovery; but, more than this, they shape the way scientists approach questions. Developmental biology exemplifies this idea both in its past and present. The rise of molecular biology and genetics in the late twentieth century shifted the focus from the anatomical to the molecular, nudging the underlying philosophy from holism to reductionism. Developmental biology is currently experiencing yet another transformation triggered by '-omics' technology and propelled forward by CRISPR genome engineering (GE). Together, these technologies are helping to reawaken a holistic approach to development. Herein, we focus on CRISPR GE and its potential to reveal principles of development at the level of the genome, the epigenome, and the cell. Within each stage we illustrate how GE can move past pure reductionism and embrace holism, ultimately delivering a more complete view of development. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 30% |
| Student > Master | 4 | 20% |
| Student > Ph. D. Student | 3 | 15% |
| Professor | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 20% |
| Agricultural and Biological Sciences | 3 | 15% |
| Psychology | 2 | 10% |
| Nursing and Health Professions | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 5 | 25% |